BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

260 related articles for article (PubMed ID: 36433346)

  • 1. Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach.
    Ali K; Johnson BA
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433346
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sen-2 LULC: Land use land cover dataset for deep learning approaches.
    Sawant S; Garg RD; Meshram V; Mistry S
    Data Brief; 2023 Dec; 51():109724. PubMed ID: 37965594
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models.
    Rengma NS; Yadav M
    Environ Monit Assess; 2024 May; 196(6):568. PubMed ID: 38775887
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Explaining the role of land use changes on land surface temperature in an arid and semi-arid metropolitan area with multi-scale spatial regression analysis.
    Dadashpoor H; Khaleghinia A; Shabrang A
    Environ Monit Assess; 2024 Jan; 196(2):124. PubMed ID: 38195837
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme.
    Cai G; Ren H; Yang L; Zhang N; Du M; Wu C
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31311138
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study.
    Naushad R; Kaur T; Ghaderpour E
    Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884087
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain.
    Parashar D; Kumar A; Palni S; Pandey A; Singh A; Singh AP
    Environ Monit Assess; 2023 Dec; 196(1):8. PubMed ID: 38049547
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An assessment of vegetation cover of Mysuru City, Karnataka State, India, using deep convolutional neural networks.
    Mahendra HN; Mallikarjunaswamy S; Subramoniam SR
    Environ Monit Assess; 2023 Mar; 195(4):526. PubMed ID: 37000283
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Land Use and Land Cover Classification Meets Deep Learning: A Review.
    Zhao S; Tu K; Ye S; Tang H; Hu Y; Xie C
    Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960665
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China.
    Yang X; Chen L; Li Y; Xi W; Chen L
    Environ Monit Assess; 2015 Jul; 187(7):449. PubMed ID: 26092241
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Environmental change monitoring in the arid and semi-arid regions: a case study Al-Basrah Province, Iraq.
    Hadeel AS; Jabbar MT; Chen X
    Environ Monit Assess; 2010 Aug; 167(1-4):371-85. PubMed ID: 19565344
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning.
    Mustapha M; Zineddine M
    Environ Monit Assess; 2024 May; 196(6):515. PubMed ID: 38709284
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning.
    Benhammou Y; Alcaraz-Segura D; Guirado E; Khaldi R; Achchab B; Herrera F; Tabik S
    Sci Data; 2022 Nov; 9(1):681. PubMed ID: 36351936
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Land use and land cover mapping in wetlands one step closer to the ground: Sentinel-2 versus landsat 8.
    Sánchez-Espinosa A; Schröder C
    J Environ Manage; 2019 Oct; 247():484-498. PubMed ID: 31254763
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Remote sensing strategies to monitoring land use maps with AVHRR and MODIS data over the South Asia regions.
    Ali S; Qi HA; Henchiri M; Sha Z; Khan FU; Sajid M; Zhang J
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):31741-31754. PubMed ID: 36450966
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan.
    Khan R; Li H; Basir M; Chen YL; Sajjad MM; Haq IU; Ullah B; Arif M; Hassan W
    Environ Monit Assess; 2022 May; 194(6):409. PubMed ID: 35524889
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery.
    Bhuiyan MAE; Witharana C; Liljedahl AK; Jones BM; Daanen R; Epstein HE; Kent K; Griffin CG; Agnew A
    J Imaging; 2020 Sep; 6(9):. PubMed ID: 34460754
    [TBL] [Abstract][Full Text] [Related]  

  • 18. JAXA's new high-resolution land use land cover map for Vietnam using a time-feature convolutional neural network.
    Truong VT; Hirayama S; Phan DC; Hoang TT; Tadono T; Nasahara KN
    Sci Rep; 2024 Feb; 14(1):3926. PubMed ID: 38365938
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery.
    Zhang P; Ke Y; Zhang Z; Wang M; Li P; Zhang S
    Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30388781
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessing the impact of anthropogenic activities on land use and land cover changes in the semi-arid and arid regions of Algeria.
    Mohammed G; Boutkhil M; Ayoub B
    Environ Monit Assess; 2024 Mar; 196(4):383. PubMed ID: 38502244
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.